86511 20210820090345.0 doi 10.1088/1361-6579/ab4102 sideral 112760 ART-2019-112760 eng Iozzia, Luca Monitoring breathing rate by fusing the physiological impact of respiration on video-photoplethysmogram with head movements 2019 Access copy available to the general public Unrestricted Objective: The simple observation of breathing rate (BR) remains the first and often the most sensitive marker of acute respiratory dysfunction. In fact, there are evidences that drastic changes in BR are a predictive indicator of adverse events (i.e. cardiac arrest). The aim of this study is to develop a camera-based technology that may provide near-continuously estimation of BR considering the effect of respiration on videoPPG (vPPG). 
 Approach: The technology has been tested in two different experimental settings, including controlled BR and more challenging scenarios with spontaneous breathing pattern. Video data were processed offline to derive the vPPG signal. The method derives respiration from beat-to-beat PPG rate and morphology changes in amplitude and width driven by the physiological relationships between vPPG and respiration. Moreover, respiratory-induced head movements were used as additional source of information for the vPPG system. A combination of these methods has been exploited to estimate the respiratory rate every 10 second. 
 Main Results: According to the results, respiratory frequencies in the central range (0.2-0.4 Hz) may be estimated using vPPG system with low relative error, eR < 2 % and interquartile range of order IQR < 5 %. However, the vPPG system showed a drop in performance at respiratory range boundaries, around 0.1 Hz and 0.5 Hz.
 Significance: This camera-based technology can be used as ubiquitous BR monitoring system. However, vPPG-based systems should consider the effect of the BR in the estimation, mainly in applications where respiratory rate is out of the range 0.2-0.4 Hz. info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON info:eu-repo/grantAgreement/ES/MINECO-FEDER/DPI2016-75458-R info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.309 2019 BIOPHYSICS 39 / 71 = 0.549 2019 Q3 T2 PHYSIOLOGY 43 / 81 = 0.531 2019 Q3 T2 ENGINEERING, BIOMEDICAL 49 / 87 = 0.563 2019 Q3 T2 0.702 2019 Biomedical Engineering 2019 Q2 Biophysics 2019 Q2 Physiology 2019 Q3 Physiology (medical) 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0001-8742-0072 Cerina, Luca Silvestri, Davide Mainardi, Luca Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 40 (2019), 094002 [12 pp.] Physiol. meas. PHYSIOLOGICAL MEASUREMENT 0967-3334 4477091 http://zaguan.unizar.es/record/86511/files/texto_completo.pdf Postprint 71893 http://zaguan.unizar.es/record/86511/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:86511 articulos driver 2021-08-20-08:37:55 ARTICLE